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N64Toad

N64Toad — CS2 Stats

NZ76561197980350158[U:1:20084430]Steam profile ↗

4,414Tracked matches50%Win rate2020Tracked since
7,402Hours in CS69Hrs last 2 wks
CSDB Rating4.8 DevelopingPassive Rifler
Premier CS Rating20,000Pink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#11209 of 27155 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=3,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianRed band medianvs Red band
Headshot rate45.6%47.2%49.9%4.3% short
Shot accuracy11.7%12.7%13.4%1.7% short
Kill/death ratio0.861.091.120.26 short
Match win rate42.6%46.6%48.4%5.8% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGN64ToadPREMIER20,000 · Pink bandcsdb.gg/stats

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Performance scores

Aim62
Positioning42
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY45–53–2Last 10045%Win rateLLWWLLLWWL

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim6.2
Aggression3.5
Utility5.7
Positioning4.2
Opening Duels0.0
Clutch3.2

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 578ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.2
Positioning4.2
Utility5.7
Mechanics4.1
Opening Duels0.0
Win Impact5.0

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time575ms−48ms
first ⅓ avg 624ms → last ⅓ avg 575ms
Headshot accuracy17.0%−2.2%
first ⅓ avg 19.1% → last ⅓ avg 17.0%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.17Best rating — anubis 13–3
13–2Biggest win — dust2
4Longest win streak
L2Current streak
9–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 69% over 13cacheWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B2612–1446%-0.03
ancientC2310–1343%-0.03
nukeB137–654%-0.02
anubisS139–469%0.00
mirageC114–736%-0.02
cacheD112–918%-0.04
inferno—21–150%-0.04
train—10–10%0.06

Across the last 100 tracked matches.

Lifetime stats

163,521Lifetime kills
0.86K/D
12,444Matches
42.6%Match win rate
45.6%Headshot %
11.7%Shot accuracy
13,352MVPs
3,973Hours (in match)
7,301Bombs planted
1,236Bombs defused

Most-used weapons

AK-4749,577
M4A4 / M4A1-S32,967
AWP15,582
Desert Eagle9,007
P2000 / USP-S7,722
Glock-186,245
P904,878
AUG3,814
Galil AR3,708
MP93,686

Lifetime map wins

45,831dust2
6,903nuke
4,762inferno
3,164vertigo
1,309train
323office
130cbble
109italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,151Matches
50%Win rate
0.91Avg K/D
74.6ADR
48%Headshot %

Clutches & streaks

36%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Dust235251%0.9814.7
Nuke15657%0.9315.0
Ancient14550%0.9115.1
Mirage13645%0.8013.0
Anubis13353%0.9615.0
Inferno7745%0.8814.5
Train4654%0.9014.5
Vertigo3241%0.8515.1

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.9%Headshot accuracy
35.8%Accuracy (enemy spotted)
35.0%Spray accuracy
68.4%Counter-strafing
9.5°Preaim
578msReaction time
27.6%T opening success
30.3%CT opening success
0.49Enemies flashed / flash
5.9%Flash assists
6.47HE damage / grenade
7.88Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4912 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 27.6055% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0322%29 Aug →
dust29–13-0.0310%29 Aug →
nuke16–14-0.0519%29 Aug →
ancient4–4-0.096%29 Aug →
anubis9–13-0.0226%29 Aug →
ancient2–13-0.0915%29 Aug →
ancient2–13-0.0210%29 Aug →
dust213–7-0.0213%28 Aug →
dust213–90.0625%28 Aug →
ancient6–13-0.0410%28 Aug →
anubis13–110.0315%28 Aug →
anubis13–30.178%28 Aug →
inferno6–13-0.0720%28 Aug →
ancient13–8-0.0320%28 Aug →
cache1–13-0.0116%27 Aug →
nuke13–70.0137%27 Aug →
cache13–16-0.0423%27 Aug →
nuke7–13-0.0711%27 Aug →
dust213–2-0.0417%27 Aug →
mirage7–13-0.0224%27 Aug →
dust211–13-0.0413%26 Aug →
mirage16–14-0.0014%26 Aug →
inferno13–10-0.0112%26 Aug →
mirage13–4-0.0217%26 Aug →
anubis13–100.0114%26 Aug →
dust27–13-0.097%26 Aug →
nuke13–50.0516%26 Aug →
ancient4–130.029%26 Aug →
cache5–13-0.0925%24 Aug →
ancient13–6-0.0322%24 Aug →
dust213–16-0.0526%24 Aug →
dust213–10-0.0120%23 Aug →
dust213–80.0619%23 Aug →
dust26–13-0.0828%23 Aug →
nuke13–5-0.0021%23 Aug →
nuke11–130.0115%22 Aug →
dust29–13-0.0521%22 Aug →
dust213–8-0.0331%22 Aug →
ancient14–16-0.0617%22 Aug →
anubis12–16-0.0620%22 Aug →
mirage13–110.0114%21 Aug →
ancient13–10-0.0720%21 Aug →
cache9–13-0.0526%21 Aug →
dust215–150.0116%21 Aug →
ancient10–130.0118%21 Aug →
ancient13–90.006%21 Aug →
nuke16–12-0.0222%20 Aug →
dust211–13-0.0822%20 Aug →
ancient8–13-0.0219%20 Aug →
dust211–13-0.0618%19 Aug →
ancient16–14-0.0817%19 Aug →
dust213–70.0128%18 Aug →
mirage10–13-0.0326%18 Aug →
ancient13–11-0.0119%18 Aug →
ancient6–13-0.0523%17 Aug →
anubis13–60.0132%17 Aug →
ancient15–15-0.0012%17 Aug →
ancient13–100.0118%17 Aug →
dust26–13-0.0613%15 Aug →
dust213–11-0.0114%15 Aug →
nuke4–13-0.0311%14 Aug →
dust28–13-0.0335%14 Aug →
dust213–50.0414%14 Aug →
ancient10–13-0.066%14 Aug →
mirage6–13-0.0220%13 Aug →
dust211–13-0.0613%13 Aug →
cache8–13-0.0018%12 Aug →
anubis14–160.0625%12 Aug →
mirage5–13-0.0214%12 Aug →
nuke4–13-0.066%12 Aug →
ancient8–13-0.0124%12 Aug →
train3–130.0630%12 Aug →
anubis13–80.013%11 Aug →
cache13–80.0119%11 Aug →
nuke13–30.0316%11 Aug →
cache1–13-0.0933%10 Aug →
ancient8–13-0.026%10 Aug →
mirage10–13-0.0117%9 Aug →
dust213–6-0.0518%9 Aug →
cache13–16-0.0518%9 Aug →
cache4–13-0.0912%8 Aug →
anubis13–10-0.0421%8 Aug →
ancient13–6-0.0425%8 Aug →
dust24–13-0.0716%8 Aug →
anubis13–11-0.0511%8 Aug →
nuke13–10-0.0414%8 Aug →
dust211–13-0.0827%7 Aug →
dust213–7-0.0521%7 Aug →
mirage13–8-0.0312%6 Aug →
cache7–13-0.0526%5 Aug →
dust213–8-0.0416%1 Aug →
anubis11–13-0.0525%1 Aug →
nuke10–13-0.0424%1 Aug →
anubis13–10-0.0240%1 Aug →
anubis13–6-0.0116%30 Jul →
mirage4–13-0.0714%30 Jul →
ancient13–6-0.0423%29 Jul →
cache13–4-0.0220%29 Jul →
nuke11–13-0.0516%29 Jul →
ancient14–16-0.0225%28 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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